Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification.
Vladik KreinovichJonathan QuijasEsthela GallardoCaio De Sa LopesOlga KoshelevaShahnaz N. ShahbazovaPublished in: NAFIPS/WConSC (2015)
Keyphrases
- t norm
- membership functions
- fuzzy sets
- linear interpolation
- fuzzy logic
- fuzzy membership functions
- fuzzy model
- fuzzy inference
- fuzzy rules
- fuzzy set theory
- rough sets
- fuzzy reasoning
- fuzzy clustering
- fuzzy systems
- rule base
- fuzzy controller
- interval valued
- fuzzy numbers
- fuzzy neural network
- fuzzy relations
- neuro fuzzy
- fuzzy inference system
- computational intelligence
- linguistic variables
- artificial intelligence
- aggregation operators
- fuzzy partitions
- fuzzy partition
- fuzzy measures
- weighted average
- pattern recognition
- probability theory
- soft computing
- partial differential equations
- decision rules
- multiscale
- feature extraction